小麦种子培育技术高价值专利数据

小麦种子培育技术高价值专利数据库中主要包括了全球专利数据库中有小麦种子培育技术制造的发明专利和实用新型专利数据，并根据自有算法对专利数据进行了检索、评价打分，有助于了解小麦种子培育行知识产权申请情况及地域布局；通过对各企业小麦种子培育技术专利数据的对比，可了解各企业的技术创新能力；了解小麦种子培育技术发展趋势及核心技术，有助于企业避免重复研发及侵犯他人的知识产权。本数据基于AHP层次法，采用定量与定性相结合，从专利价值度法出发，指标层将专利价值指标体系分为技术、法律、经济3项一级指标，一级指标层向下为二级指标，包括技术价值指标：独立权利要求数量、主权项字数、专利剩余年限、同族专利数、引证其它专利数、被其他专利引证数、申请人类型得分、发明人投入人数、涉及领域数；法律价值指标：专利类型、文献页数、被无效请求次数；经济价值指标：转让次数、许可次数、质押融资次数、专利奖得分、海关备案得分；根据一级、二级指标建立3个维度的矩阵，根据专利名称和专利号通过专利接口数据获取专利评价对应的数据指标，采用1-9分标度法（最低为1分，最高为9分），求得相应的指标权重，用权重技术各个指标的分值，所有指标分值的和即为专利得分，根据分值的区间段对专利进行划分，80-100为高价值专利、60-80位重要专利、60分以下为一般专利，为小麦种子培育技术企业研发人员提供技术参考及指引，为公司提供研发决策指导。以上算法中提到的数据结果均在数据结构中体现。

The High-Value Patent Database for Wheat Seed Breeding Technology mainly includes invention patents and utility model patents related to wheat seed breeding technology manufacturing from global patent databases. Retrieval and evaluation scoring were conducted on the patent data using proprietary algorithms, which helps gain insights into the intellectual property (IP) application status and geographic layout of the wheat seed breeding industry. By comparing the patent data of wheat seed breeding technologies across different enterprises, one can assess the technological innovation capabilities of each enterprise. Understanding the development trends and core technologies of wheat seed breeding technologies helps enterprises avoid redundant R&D and intellectual property infringement.

This database is based on the Analytic Hierarchy Process (AHP), combining quantitative and qualitative methods, starting from the patent value evaluation method. The indicator system of patent value is divided into three primary indicators: technical, legal, and economic value. The primary indicators are further broken down into secondary indicators:
Technical Value Indicators: number of independent claims, word count of the main independent claim, remaining patent term, number of patent family members, number of cited patents, number of citations by other patents, score of applicant type, number of participating inventors, number of involved technical fields;
Legal Value Indicators: patent type, number of document pages, number of invalidation request filings;
Economic Value Indicators: number of transfer transactions, number of license transactions, number of pledge financing transactions, score of patent awards, score of customs record filings.

A three-dimensional matrix is established based on the primary and secondary indicators. Corresponding data indicators for patent evaluation are obtained through patent interface data based on patent titles and patent numbers. The 1-9 scaling method (minimum 1 point, maximum 9 points) is used to calculate the corresponding indicator weights. The score of each indicator is calculated via weighted summation, and the sum of all indicator scores is the final patent score. Patents are categorized according to their score ranges: 80-100 is classified as High-Value Patents, 60-80 as Important Patents, and below 60 as General Patents. This database provides technical references and guidance for R&D personnel of wheat seed breeding technology enterprises, and offers R&D decision-making support for companies. All data results mentioned in the aforementioned algorithms are reflected in the data structure.

搜集汇总

数据集介绍

特点

该数据集包含196条小麦种子培育技术相关的高价值专利数据，每年更新一次，通过AHP层次法从技术、法律和经济三个维度对专利进行评价打分，旨在帮助企业了解行业知识产权情况、技术创新能力和技术发展趋势。